Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
The 47th Annual Conference of the Institute of Systems, Control and Information Engineers
Conference information
Image Segmentation by Using Genetic Algorithms
takashi SatoMotohide YosimuraSigeo Abe
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Pages 3042

Details
Abstract
Segmentation of an image composed of different kinds of texture fields is one of the most important theme in image understanding and indispensable for the object recognition. The purpose of this paper is to divide an image composed of different kinds of texture fields into the same segmentaion areas with Modified Messy Genetic Algorithm(MMGA). In this paper, we consider texture segmentaion as an optimization problem and propose the texture segmentation method that reduces calculation cost by applying MMGA to this problem.
Content from these authors
© 2003 The Institute of Systems, Control and Information Engineers
Previous article Next article
feedback
Top